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Local 2-connected bow-tie structure of the Web and of social networks
The explosive growth of the Web and of social networks motivates the need for analyzing the macroscopic structure of their underlying graphs....
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AI-ciphering techniques for connected vehicular Adhoc networks
The major two issues in Wireless Sensor Networks (WSN) & Vehicular Networks (VANET) remain energy and security. As a result, safeguarding these...
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Link prediction in directed complex networks: combining similarity-popularity and path patterns mining
Discovering new relationships between entities in networked data is essential in various applications such as sociology, security, physics, and...
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Dynamic connection pruning for densely connected convolutional neural networks
Densely connected convolutional neural networks dominate in a variety of downstream tasks due to their extraordinary performance. However, such...
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Generating directed networks with predetermined assortativity measures
Assortativity coefficients are important metrics to analyze both directed and undirected networks. In general, it is not guaranteed that the fitted...
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Community deception in directed influence networks
Community deception is about protecting users of a community from being discovered by community detection algorithms. This paper studies community...
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Community deception: from undirected to directed networks
Community deception is about hiding a target community that wants to remain below the radar of community detection algorithms. The goal is to devise...
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A two-stage model for change point detection in large-scale weighted directed social networks using a MEWMA chart
Due to political, cultural, and social reasons, monitoring social network has increasingly attracted the attention of both practitioners and...
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Chained structure of directed graphs with applications to social and transportation networks
The need to determine the structure of a graph arises in many applications. This paper studies directed graphs and defines the notions of
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A multi-view clustering algorithm for attributed weighted multi-edge directed networks
Graph clustering acts as a critical topic for solving decision situations in networks. Different node clustering methods for undirected and directed...
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A Memetic Algorithm for Solving the Robust Influence Problem on Directed Networks
The influence maximization problem has been intensively emphasized in recent studies, and the robust influence maximization problem is aimed at...
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Signed directed attention network
Network embedding has facilitated lots of network analytical tasks by representing nodes as low-dimensional vectors. As an extension of convolutional...
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Capacity-Preserving Subgraphs of Directed Flow Networks
We introduce and discuss the Minimum Capacity-Preserving Subgraph (MCPS) problem: given a directed graph and a retention ratio...
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Directed Path Partition Problem on Directed Acyclic Graphs
We study the problem of partitioning the vertex set of a given directed graph $$G = (V,...
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The Role of Directed Edges
Directed edges make community detection more difficult because a path of directed edges can cut across communities in unexpected ways. So far, we...
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Social network analysis of Twitter interactions: a directed multilayer network approach
Effective employment of social media for any social influence outcome requires a detailed understanding of the target audience. Social media provides...
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Iterative approximate Byzantine consensus in arbitrary directed graphs
This paper identifies necessary and sufficient conditions for the existence of iterative algorithms that achieve approximate Byzantine consensus in...
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Directed Acyclic Networks and Turn Constraint Paths
We address algorithmic problems in constructing turn constrained paths in a two dimensional Euclidean network. It is known that a shortest path tree...
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Behavioural relevance of redundant and synergistic stimulus information between functionally connected neurons in mouse auditory cortex
Measures of functional connectivity have played a central role in advancing our understanding of how information is transmitted and processed within...
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Fast generation of simple directed social network graphs with reciprocal edges and high clustering
Online social networks have emerged as useful tools to communicate or share information and news on a daily basis. One of the most popular networks...
